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World Bank · Economy

Adjusted savings: net forest depletion (% of GNI)

Net forest depletion is calculated as the product of unit resource rents and the excess of roundwood harvest over natural growth. This indicator is expressed as a percentage of Gross National Income (GNI) which is the total income earned by all residents within an economic territory during an accounting period. It is equal to gross domestic product plus earned income receivable from abroad minus earned income payable abroad.

Coverage
186 of 238 countries
Latest data
2021
Series
186
Unit
percent
Licence
CC BY 4.0
Retrieved
2026-11-07
Indicator
adjusted-savings-net-forest-depletion-zs
Interva ID
worldbank-adjusted-savings-net-forest-depletion-zs

Recency

aging

data to 2021; catalog to 2025

Provenance

2 steps

as the publisher declares it

Versions

1

catalog snapshots

Citation

BibTeX + CSL

versioned permalink

Quality profile

This profile describes what Interva can measure in the data. It does not claim the dataset is accurate, complete, or suitable for a particular use.

Recency

50%

Latest observation is 2021; the catalog broadly reports to 2025, so this data is 4 year(s) behind (aging).

Method: Compares the dataset's latest non-projected period with the year most datasets in the catalog end in. Up to 2 years behind is current — annual data is routinely published a year or two late — and more than 5 is stale. Measured from the data, not from when Interva last crawled it.

Temporal completeness

100%

9 of 186 series skip at least one year inside their own span; the median series reports 100% of its years.

Method: Per series, years present divided by years from its first to its last observation; the median across series is reported. Annual periods are assumed, which holds for every series in the catalog today.

Geographic coverage

Measured

Covers 186 of the 238 countries in the catalog.

Method: Counts distinct geographies with at least one observation. Not scored: a regional dataset covering its region completely is not deficient for omitting the rest of the world.

History depth

Measured

The median series has 51 observations; the earliest begins in 1970.

Method: Counts non-projected observations per series. Not scored: a long history is useful for trend work and irrelevant for a cross-section.

Revisions

Measured

No observation has been restated in any vintage Interva has recorded.

Method: Counts values the publisher changed between Interva's publishes. Not scored: revising estimates is ordinary and often a sign of care, and the count is here so a reader citing a figure knows whether it moves.

Schema conformity

Not assessed

No declared schema or validation rules are attached to this dataset yet.

Validity

Not assessed

No field-level validation rules are attached to this dataset yet.

Consistency

Not assessed

Cross-series consistency rules are not defined yet. The obvious first one — whether two publishers measuring one concept agree within a stated tolerance — is a candidate.

2 scored from the data, 3 described without a score, 3 not assessed. Pipeline integrity: all 5 checks pass. Assessed 2026-11-07.

By country

Adjusted savings: net forest depletion (% of GNI) for each of the 186 countries it covers, with the full history.

Latest observations

CountryPeriodValueUnit
Afghanistan20210.32percent
Albania20210.14percent
Algeria20210percent
Angola20210.74percent
Argentina20210percent
Armenia20210.28percent
Aruba20210.00percent
Australia20210.12percent
Austria20210.03percent
Azerbaijan20210percent

Provenance

Who produced these figures, as World Bank declares it — not inferred, and each line says which published field it was read from.

  1. Produced by

    World Bank

    Staff estimates, World Bank (WB); The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium, World Bank (WB)

    declared by worldbank in sourceOrganization

  2. Read from

    World Bank

    World Development Indicators

    declared by worldbank in source

Versions

A vintage is a dated publish of the catalog. The current entry is a catalog snapshot; checksums are not recorded yet and are shown as such.

  • CurrentCurrent catalog snapshotchecksum not recorded

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Citation

Version: catalog snapshot 2026-11-07. The record labels this as a catalog snapshot because immutable dataset releases are not stored yet.

World Bank (2026). Adjusted savings: net forest depletion (% of GNI). Interva. https://interva.co/dataset/worldbank-adjusted-savings-net-forest-depletion-zs (accessed 2026-11-07). catalog snapshot 2026-11-07.

BibTeX
@misc{interva-worldbank-adjusted-savings-net-forest-depletion-zs,
  title        = {Adjusted savings: net forest depletion (\% of GNI)},
  author       = {World Bank},
  year         = {2026},
  howpublished = {\url{https://interva.co/dataset/worldbank-adjusted-savings-net-forest-depletion-zs}},
  note         = {Interva dataset worldbank-adjusted-savings-net-forest-depletion-zs; catalog snapshot 2026-11-07},
  urldate      = {2026-11-07}
}

DOI: not assigned (not assigned). The permalink is versioned by catalog snapshot; a stable dataset DOI is a later step.

API access

Every fact on this page is available from the API.

curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-adjusted-savings-net-forest-depletion-zs
curl -o worldbank-adjusted-savings-net-forest-depletion-zs.csv https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-adjusted-savings-net-forest-depletion-zs/download
curl "https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-adjusted-savings-net-forest-depletion-zs/citation?accessed=YYYY-MM-DD"
curl https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/datasets/worldbank-adjusted-savings-net-forest-depletion-zs/quality

Full schema: https://interva-api.nq5kq4f69b5zj.eu-west-3.cs.amazonlightsail.com/docs

Open in the terminal to chart this series, compare it against other publishers, or export it with its provenance.

Adjusted savings: net forest depletion (% of GNI) · World Bank · Interva